Effect Plots
Overview
High-performance implementation of various effect plots useful for regression and probabilistic classification tasks. The package includes partial dependence plots (Friedman, 2021, doi:10.1214/aos/1013203451), accumulated local effect plots and M-plots (both from Apley and Zhu, 2016, doi:10.1111/rssb.12377), as well as plots that describe the statistical associations between model response and features. It supports visualizations with either 'ggplot2' or 'plotly', and is compatible with most models, including 'Tidymodels', models wrapped in 'DALEX' explainers, or models with case weights.
Minor improvement
update(, collapse_m = m)will now produce a level "other p" for the p least frequent categories #52.update()has received new default:collapse_m = 15(was 30) #54.- Missing values in
yare now checked *after* removing observations without positive weights #56. - Plotted lines now skip missing values on the y-axis, also in the ribbons #57.
- Factors with explicit NA level are respected, #59.
- Empty factor levels are being dropped, #60.
Maintenance
Minor changes
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 12
- Examples that run
- 100%12 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 58%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- 0
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7 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/mayer79/effectplots on 2026-10-22.
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GitHub Pages site last deployed 2025-10-05 · The repository has a site deploy workflow
Dependencies
Installing effectplots adds 66 packages (36 with compiled code, 67 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2.2Latest
- 0.2.12025-01-11 · diff ↗
- 0.2.0
- 0.1.02024-11-18
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-11-18
- Total releases
- 4 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 115 KB
Cite
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